Privacy is becoming one of the most notable challenges threatening wireless sensor networks(WSNs).Adversaries may use RF(radio frequency) localization techniques to perform hop-by-hop trace back to the source sensor...Privacy is becoming one of the most notable challenges threatening wireless sensor networks(WSNs).Adversaries may use RF(radio frequency) localization techniques to perform hop-by-hop trace back to the source sensor's location.A multiple k-hop clusters based routing strategy(MHCR) is proposed to preserve source-location privacy as well as enhance energy efficiency for WSNs.Owing to the inherent characteristics of intra-cluster data aggregation,each sensor of the interference clusters is able to act as a fake source to confuse the adversary.Moreover,dummy traffic could be filtered efficiently by the cluster heads during the data aggregation,ensuring no energy consumption be burdened in the hotspot of the network.Through careful analysis and calculation on the distribution and the number of interference clusters,energy efficiency is significantly enhanced without reducing the network lifetime.Finally,the security and delay performance of MHCR scheme are theoretically analyzed.Extensive analysis and simulation results demonstrate that MHCR scheme can improve both the location privacy security and energy efficiency markedly,especially in large-scale WSNs.展开更多
In order to extract the richer feature information of ship targets from sea clutter, and address the high dimensional data problem, a method termed as multi-scale fusion kernel sparse preserving projection(MSFKSPP) ba...In order to extract the richer feature information of ship targets from sea clutter, and address the high dimensional data problem, a method termed as multi-scale fusion kernel sparse preserving projection(MSFKSPP) based on the maximum margin criterion(MMC) is proposed for recognizing the class of ship targets utilizing the high-resolution range profile(HRRP). Multi-scale fusion is introduced to capture the local and detailed information in small-scale features, and the global and contour information in large-scale features, offering help to extract the edge information from sea clutter and further improving the target recognition accuracy. The proposed method can maximally preserve the multi-scale fusion sparse of data and maximize the class separability in the reduced dimensionality by reproducing kernel Hilbert space. Experimental results on the measured radar data show that the proposed method can effectively extract the features of ship target from sea clutter, further reduce the feature dimensionality, and improve target recognition performance.展开更多
In this study,composite films consisting of polylactic acid(PLA),ethyl cellulose(EC),and zein were prepared by solution casting method,and their performance and application in chilled fresh meat preservation were inve...In this study,composite films consisting of polylactic acid(PLA),ethyl cellulose(EC),and zein were prepared by solution casting method,and their performance and application in chilled fresh meat preservation were investigated.The results showed that the three materials had satisfactory compatibility in the composite film.Addition of EC and zein effectively improved the mechanical properties,thermodynamic properties,surface hydrophilicity,oxygen permeability,and degradation properties of PLA films.When the ratio of PLA to EC was 3:7,the tensile strength and elongation at break reached maximum values of 16.6 MPa and 30.5%,respectively.Moreover,under different conditions,the composite film exhibited better degradability than the PLA film.The composite film with a 3:7 ratio of PLA to EC had the best performance,with a degradation rate of 21.75%after 84 days.Chilled fresh meat wrapped with the composite film showed significantly improved antioxidant,antibacterial,and water-holding properties.展开更多
Although real-world experiences show that preparing one image per person is more convenient, most of the appearance-based face recognition methods degrade or fail to work if there is only a single sample per person(SS...Although real-world experiences show that preparing one image per person is more convenient, most of the appearance-based face recognition methods degrade or fail to work if there is only a single sample per person(SSPP). In this work, we introduce a novel supervised learning method called supervised locality preserving multimanifold(SLPMM) for face recognition with SSPP. In SLPMM, two graphs: within-manifold graph and between-manifold graph are made to represent the information inside every manifold and the information among different manifolds, respectively. SLPMM simultaneously maximizes the between-manifold scatter and minimizes the within-manifold scatter which leads to discriminant space by adopting locality preserving projection(LPP) concept. Experimental results on two widely used face databases FERET and AR face database are presented to prove the efficacy of the proposed approach.展开更多
Scientific data refers to the data or data sets generated from scientific research process through observations, experiments, calculations and analyses. These data are fundamental components for developing new knowled...Scientific data refers to the data or data sets generated from scientific research process through observations, experiments, calculations and analyses. These data are fundamental components for developing new knowledge, advancing technological progress, and creating wealth. In recent years, scientific data has been attracting more and more attention for its preserving, archiving and sharing.展开更多
As an important wild blueberry resource,Vaccinium uliginosum has attracted more and more attention.At present,the wild resources are under destruction.The conservation of wild Vaccinium uliginosum resources is imminen...As an important wild blueberry resource,Vaccinium uliginosum has attracted more and more attention.At present,the wild resources are under destruction.The conservation of wild Vaccinium uliginosum resources is imminent.However,there are few researches on the protection and preservation of its germplasm resources.In vitro preservation is an important method for germplasm conservation.In this study,one strain of wild Vaccinium uliginosum was used as material.The effects of temperature(25℃,15℃,10℃,or 0℃),media(WPM,1/2WPM or 1/3WPM),medium supplements(sorbitol or mannose),and photoperiod(8,10,12,or 14 h•d^(-1))on the growth,survival rate and rejuvenation rate of the plantlets were studied.The physiological changes of plantlets during preservation were analyzed.Methylation-sensitive amplified polymorphism(MSAP)analysis of genomic DNA methylation of plantlets was carried out to explore the genetic stability of the plantlets after preservation.The research results provided a theoretical basis for the germplasm preservation of Vaccinium uliginosum.展开更多
There is a great necessity to inherit and preserve the cultural heritage of Nuo in Jiangxi Province for its artistic value,economic value and social value.In reality,however,the disappearance of culture-inheriting car...There is a great necessity to inherit and preserve the cultural heritage of Nuo in Jiangxi Province for its artistic value,economic value and social value.In reality,however,the disappearance of culture-inheriting carriers and the failure to protect relevant resources all conspire against the task of inheriting and preserving this unique inheritance.Government needs to put its weight behind this work by establishing institutions and providing funds to restore the culture of Nuo in Jiangxi.展开更多
采用TEMPO(四甲基哌啶氧化物)氧化法,通过调整氧化剂的用量制备不同形貌的纤维素纳米纤维(CNF),探索不同形貌和浓度的纤维素纳米纤维在蒸煮大米保鲜过程中的表现差异以及造成这些差异的机制。结果表明:CNF5(5 g NaClO)纤维较粗,易形成...采用TEMPO(四甲基哌啶氧化物)氧化法,通过调整氧化剂的用量制备不同形貌的纤维素纳米纤维(CNF),探索不同形貌和浓度的纤维素纳米纤维在蒸煮大米保鲜过程中的表现差异以及造成这些差异的机制。结果表明:CNF5(5 g NaClO)纤维较粗,易形成大尺寸网络通道,气体阻隔性较差,保鲜效果不理想;CNF10(10 g NaClO)纤维尺寸均匀且具有良好的柔韧性,能够紧密堆叠形成致密薄膜,其较高的表面官能团密度增强了气体吸附能力,显著提升了阻隔性能,表现出最佳的保鲜效果;CNF40(40 g NaClO)则因其刚性棒状纤维在堆积时难以紧密结合,容易形成贯通通道,增加了水蒸气和氧气的穿透性,保鲜效果略逊于CNF10。展开更多
基金Project(2013DFB10070)supported by the International Science & Technology Cooperation Program of ChinaProject(2012GK4106)supported by the Hunan Provincial Science & Technology Program,ChinaProject(12MX15)supported by the Mittal Innovation Project of Central South University,China
文摘Privacy is becoming one of the most notable challenges threatening wireless sensor networks(WSNs).Adversaries may use RF(radio frequency) localization techniques to perform hop-by-hop trace back to the source sensor's location.A multiple k-hop clusters based routing strategy(MHCR) is proposed to preserve source-location privacy as well as enhance energy efficiency for WSNs.Owing to the inherent characteristics of intra-cluster data aggregation,each sensor of the interference clusters is able to act as a fake source to confuse the adversary.Moreover,dummy traffic could be filtered efficiently by the cluster heads during the data aggregation,ensuring no energy consumption be burdened in the hotspot of the network.Through careful analysis and calculation on the distribution and the number of interference clusters,energy efficiency is significantly enhanced without reducing the network lifetime.Finally,the security and delay performance of MHCR scheme are theoretically analyzed.Extensive analysis and simulation results demonstrate that MHCR scheme can improve both the location privacy security and energy efficiency markedly,especially in large-scale WSNs.
基金supported by the National Natural Science Foundation of China (62271255,61871218)the Fundamental Research Funds for the Central University (3082019NC2019002)+1 种基金the Aeronautical Science Foundation (ASFC-201920007002)the Program of Remote Sensing Intelligent Monitoring and Emergency Services for Regional Security Elements。
文摘In order to extract the richer feature information of ship targets from sea clutter, and address the high dimensional data problem, a method termed as multi-scale fusion kernel sparse preserving projection(MSFKSPP) based on the maximum margin criterion(MMC) is proposed for recognizing the class of ship targets utilizing the high-resolution range profile(HRRP). Multi-scale fusion is introduced to capture the local and detailed information in small-scale features, and the global and contour information in large-scale features, offering help to extract the edge information from sea clutter and further improving the target recognition accuracy. The proposed method can maximally preserve the multi-scale fusion sparse of data and maximize the class separability in the reduced dimensionality by reproducing kernel Hilbert space. Experimental results on the measured radar data show that the proposed method can effectively extract the features of ship target from sea clutter, further reduce the feature dimensionality, and improve target recognition performance.
文摘In this study,composite films consisting of polylactic acid(PLA),ethyl cellulose(EC),and zein were prepared by solution casting method,and their performance and application in chilled fresh meat preservation were investigated.The results showed that the three materials had satisfactory compatibility in the composite film.Addition of EC and zein effectively improved the mechanical properties,thermodynamic properties,surface hydrophilicity,oxygen permeability,and degradation properties of PLA films.When the ratio of PLA to EC was 3:7,the tensile strength and elongation at break reached maximum values of 16.6 MPa and 30.5%,respectively.Moreover,under different conditions,the composite film exhibited better degradability than the PLA film.The composite film with a 3:7 ratio of PLA to EC had the best performance,with a degradation rate of 21.75%after 84 days.Chilled fresh meat wrapped with the composite film showed significantly improved antioxidant,antibacterial,and water-holding properties.
文摘Although real-world experiences show that preparing one image per person is more convenient, most of the appearance-based face recognition methods degrade or fail to work if there is only a single sample per person(SSPP). In this work, we introduce a novel supervised learning method called supervised locality preserving multimanifold(SLPMM) for face recognition with SSPP. In SLPMM, two graphs: within-manifold graph and between-manifold graph are made to represent the information inside every manifold and the information among different manifolds, respectively. SLPMM simultaneously maximizes the between-manifold scatter and minimizes the within-manifold scatter which leads to discriminant space by adopting locality preserving projection(LPP) concept. Experimental results on two widely used face databases FERET and AR face database are presented to prove the efficacy of the proposed approach.
基金Ministry of Science and Technology "National Science and Technology Platform Program"(2005DKA31800)
文摘Scientific data refers to the data or data sets generated from scientific research process through observations, experiments, calculations and analyses. These data are fundamental components for developing new knowledge, advancing technological progress, and creating wealth. In recent years, scientific data has been attracting more and more attention for its preserving, archiving and sharing.
基金Supported by the National Natural Science Foundation of China(32172521)。
文摘As an important wild blueberry resource,Vaccinium uliginosum has attracted more and more attention.At present,the wild resources are under destruction.The conservation of wild Vaccinium uliginosum resources is imminent.However,there are few researches on the protection and preservation of its germplasm resources.In vitro preservation is an important method for germplasm conservation.In this study,one strain of wild Vaccinium uliginosum was used as material.The effects of temperature(25℃,15℃,10℃,or 0℃),media(WPM,1/2WPM or 1/3WPM),medium supplements(sorbitol or mannose),and photoperiod(8,10,12,or 14 h•d^(-1))on the growth,survival rate and rejuvenation rate of the plantlets were studied.The physiological changes of plantlets during preservation were analyzed.Methylation-sensitive amplified polymorphism(MSAP)analysis of genomic DNA methylation of plantlets was carried out to explore the genetic stability of the plantlets after preservation.The research results provided a theoretical basis for the germplasm preservation of Vaccinium uliginosum.
文摘There is a great necessity to inherit and preserve the cultural heritage of Nuo in Jiangxi Province for its artistic value,economic value and social value.In reality,however,the disappearance of culture-inheriting carriers and the failure to protect relevant resources all conspire against the task of inheriting and preserving this unique inheritance.Government needs to put its weight behind this work by establishing institutions and providing funds to restore the culture of Nuo in Jiangxi.
文摘采用TEMPO(四甲基哌啶氧化物)氧化法,通过调整氧化剂的用量制备不同形貌的纤维素纳米纤维(CNF),探索不同形貌和浓度的纤维素纳米纤维在蒸煮大米保鲜过程中的表现差异以及造成这些差异的机制。结果表明:CNF5(5 g NaClO)纤维较粗,易形成大尺寸网络通道,气体阻隔性较差,保鲜效果不理想;CNF10(10 g NaClO)纤维尺寸均匀且具有良好的柔韧性,能够紧密堆叠形成致密薄膜,其较高的表面官能团密度增强了气体吸附能力,显著提升了阻隔性能,表现出最佳的保鲜效果;CNF40(40 g NaClO)则因其刚性棒状纤维在堆积时难以紧密结合,容易形成贯通通道,增加了水蒸气和氧气的穿透性,保鲜效果略逊于CNF10。